Comparative performance of time-frequency based EEG spike detection techniques

Hamid Hassanpour*, Luke Rankine, Mostefa Mesbah, Boualem Boashash

*المؤلف المقابل لهذا العمل

نتاج البحث

1 اقتباس (Scopus)

ملخص

This paper investigates the performance of time-frequency based EEG spike detection techniques. The non-stationary nature of EEG makes time-frequency methodology a suitable tool for analysis. The high instantaneous energy of spikes are reflected as very localised energy patterns in the time-frequency domain with reduced time duration toward the high frequency area. These characteristics of spikes in the time-frequency domain makes them recognisable from the background. Two recently published spike detection methods, based on quadratic time-frequency and adaptive time-frequency parameterisation are considered in this investigation. These methods have been applied on both synthetic and real EEG signals. The obtained results show the superior performance of the quadratic time-frequency method for detecting EEG spikes in terms of resolution and robustness to noise.

اللغة الأصليةEnglish
عنوان منشور المضيف13th European Signal Processing Conference, EUSIPCO 2005
الصفحات297-300
عدد الصفحات4
حالة النشرPublished - 2005
منشور خارجيًانعم
الحدث13th European Signal Processing Conference, EUSIPCO 2005 - Antalya
المدة: سبتمبر ٤ ٢٠٠٥سبتمبر ٨ ٢٠٠٥

سلسلة المنشورات

الاسم13th European Signal Processing Conference, EUSIPCO 2005

Other

Other13th European Signal Processing Conference, EUSIPCO 2005
الدولة/الإقليمTurkey
المدينةAntalya
المدة٩/٤/٠٥٩/٨/٠٥

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1711???

بصمة

أدرس بدقة موضوعات البحث “Comparative performance of time-frequency based EEG spike detection techniques'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا